1. Quantifying power system frequency quality and extracting typical patterns within short time scales below one hourYounes Mohammadi, Boštjan Polajžer, Roberto Chouhy Leborgne, Davood Khodadad, 2024, izvirni znanstveni članek Ključne besede: quantifying power system frequency quality, statistical indices, pattern extracting, machine learning, short time scales, renewable energy sources
Objavljeno v DKUM: 23.08.2024; Ogledov: 50; Prenosov: 5
 Celotno besedilo (12,67 MB) |
2. 6th International Conference En-Re Energy & Responsibility : Book of Extended Abstracts2024 Opis: In the context of escalating climate challenges, the EnRe conference is dedicated to exploring pathways to climate neutrality and the sustainable green transition. The conference is focused on the development and implementation of innovations supporting the transformation of energy systems, industrial systems, and living systems, all with the goal of creating a sustainable future with net-zero emissions. The conference brings together experts, researchers, policymakers, and business leaders to share their experiences, research, and visions. The aim of the conference is to foster collaboration and exchange of ideas, and to collectively develop comprehensive approaches and strategies for achieving climate neutrality. This conference is not just a knowledge exchange, but also a platform for encouraging concrete actions that will ensure a greenerand more sustainable future for our next generations to come.
Ključne besede: alternative energy systems, dynamic tariffing, electrical machines and drives, energy conversions, financing energy projects, nuclear energy, conventional energy systems, climate changes - climate pan, mathematical methods in engineering, micro and nano energy, low-carbon technologies and strategies, renewable energy technologies heating and cooling systems, smart buildings, cities and networks, policies and strategies for renewable energy sources, energy efficiency and the climate
Objavljeno v DKUM: 17.05.2024; Ogledov: 332; Prenosov: 28
Celotno besedilo (10,40 MB)
Gradivo ima več datotek! Več... |
3. The use of differential evolution to determine maximum generation and load values in the distribution networkEva Tratnik, Janez Ribič, Matej Pintarič, Miran Rošer, Gorazd Štumberger, Miloš Beković, 2022, izvirni znanstveni članek Opis: By integrating renewable energy sources into the existing distribution network, the characteristics and local stability of the network is highly impacted. The network, which was built with the goal of a directed energy flow from large conventional sources connected to the transmission network via the distribution network to consumers, can change the direction of the energy flow. The adoption of environmental commitments and directives encourages the integration of local dispersed energy sources, which can worsen voltage conditions in the distribution network. To avoid excessive local production, distribution network operators must limit the installation of new generati on units, as it is necessary to take into account the quality of power supply by monitoring its network parameters, such as the appropriate voltage profi le and the rati o between acti ve and reacti ve power. On the other hand, excessive loads due to the mass transiti on of household heati ng and transport towards electricity can also pose a problem for high-quality electricity supply due to the excessive voltage drop. The arti cle presents an algorithm for determining the maximum size of unit producti on and the maximum load at a node in the distributi on network. Also demonstrated is the use of variable tap transformer technology, which adjusts the tap of the transformer to provide an appropriate voltage profi le in the network. The enti re analysis was performed on a model of a real medium-voltage network, in which solar and hydropower plants are already included. The model was verifi ed by comparing its calculated values with actual measurements. The goal was to determine the size of the unit’s maximum producti on, as well as the size of the maximum load, by using the diff erenti al evoluti on algorithm, while keeping voltage profi les within the permissible limits. The results of the analysis are presented in the article.
Ključne besede: distribution network, renewable energy sources, optimisation method, voltage profile
Objavljeno v DKUM: 30.10.2023; Ogledov: 425; Prenosov: 15
Celotno besedilo (1,63 MB)
Gradivo ima več datotek! Več... |
4. |
5. Economic effects of renewable energy technologiesDario Maradin, Ljerka Cerović, Trina Mjeda, 2017, izvirni znanstveni članek Opis: Rapid economic development has resulted in the more frequent use of renewable energy technologies. On the other hand, the production and use of renewables fosters the development of new technologies, creating many new opportunities for entrepreneurial-minded individuals and, consequently, the economy in general. Renewable energy technologies have a multiplier effect in spurring the economy and the development of not only the energy sector but also all the supporting activities related to such industry. The purpose of this research is to analyse both the positive and the negative economic effects of investing in various renewable technologies, as well as to confirm, by means of the energy-economy model, the benefit of such technologies in boosting the economy.
Ključne besede: renewable energy sources, new technologies, boosting the economy
Objavljeno v DKUM: 13.11.2017; Ogledov: 1723; Prenosov: 479
Celotno besedilo (288,98 KB)
Gradivo ima več datotek! Več... |
6. Renewable energy sources in Slovenia: Determining possible development trends until 2020 by using linear forecast and simulation with geometric Brownian motion processDejan Tasić, 2017, diplomsko delo Opis: Renewable energy sources in the European Union and the Republic of Slovenia present an increasing share of energy each year. This thesis contains the data from Eurostat, where the statistics of renewable sources in the European Union and the Republic of Slovenia are analyzed from 2004 to 2014. On the basis of this data, the linear forecast and simulation by using process of geometric Brownian motion are conducted for the Republic of Slovenia for the time period 2015-2020. The goal is to determine if the Republic of Slovenia will achieve target objectives of European directive for renewable energy sources until 2020.
Ključne besede: Slovenia, renewable energy sources, statistics, forecast, simulation, GBM
Objavljeno v DKUM: 22.09.2017; Ogledov: 1745; Prenosov: 146
Celotno besedilo (3,64 MB)
Gradivo ima več datotek! Več... |
7. |
8. |
9. |
